{"id":1873,"date":"2023-08-20T07:08:33","date_gmt":"2023-08-20T07:08:33","guid":{"rendered":"https:\/\/mlnews.dev\/?p=1873"},"modified":"2023-10-02T05:11:12","modified_gmt":"2023-10-02T05:11:12","slug":"4d-humans-using-hmr-2-0-and-3d-video-analysis","status":"publish","type":"post","link":"https:\/\/mlnews.dev\/4d-humans-using-hmr-2-0-and-3d-video-analysis\/","title":{"rendered":"4D Humans: Tracking Complex Actions Now Becomes Possible"},"content":{"rendered":"\n
Unveiling the Future of Human Understanding, Journey into the 4D Universe of Advanced Reconstruction, Tracking, and Action Recognition. UC Berkeley scientists Shubmam Goel, Georgios Pavlakos,<\/strong> and Jathushan Rajasegaran<\/strong> are actively engaged in pioneering research and development of the 4D Humans project. This organization, HMR 2.0, progresses the cutting edge and shows the ability to examine uncommon represents that have in the past been hard to remake from single pictures. To dissect video, they utilize 3D reproductions from HMR 2.0 as contribution to a global positioning framework that works in 3D. This enables them to deal with multiple people and maintain identities through occlusion events<\/p>\n\n\n